Alexander Toshev

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 63

Top Topics

Visual Representations

Top Venues

Publications

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
Grounding Multimodal Large Language Models in Actions. CoRR (2024)
Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Floris Weers, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Ankur Jain, Hongyu Hè, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Guoli Yin, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training. CoRR (2024)
Alaaeldin El-Nouby, Michal Klein, Shuangfei Zhai, Miguel Ángel Bautista, Alexander Toshev, Vaishaal Shankar, Joshua M. Susskind, Armand Joulin
Scalable Pre-training of Large Autoregressive Image Models. CoRR (2024)
Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR (2023)
Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Yantao Zheng, Jonathon Shlens, Ruoming Pang, Yinfei Yang
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. EMNLP (2023)
Bogdan Mazoure, Walter Talbott, Miguel Ángel Bautista, R. Devon Hjelm, Alexander Toshev, Joshua M. Susskind
Value function estimation using conditional diffusion models for control. CoRR (2023)
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
Perceptual Grouping in Contrastive Vision-Language Models. ICCV (2023)
Erik Daxberger, Floris Weers, Bowen Zhang, Tom Gunter, Ruoming Pang, Marcin Eichner, Michael Emmersberger, Yinfei Yang, Alexander Toshev, Xianzhi Du
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts. CoRR (2023)
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. CoRR (2023)
Brandon McKinzie, Joseph Cheng, Vaishaal Shankar, Yinfei Yang, Jonathon Shlens, Alexander Toshev
On Robustness in Multimodal Learning. CoRR (2023)
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR (2023)
Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. ICBINB (2023)
Alex Fang, Albin Madappally Jose, Amit Jain, Ludwig Schmidt, Alexander Toshev, Vaishaal Shankar
Data Filtering Networks. CoRR (2023)
Chen Chen, Bowen Zhang, Liangliang Cao, Jiguang Shen, Tom Gunter, Albin Madappally Jose, Alexander Toshev, Jonathon Shlens, Ruoming Pang, Yinfei Yang
STAIR: Learning Sparse Text and Image Representation in Grounded Tokens. CoRR (2023)
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. ICLR (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Josh M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. CoRR (2022)
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR (2022)
Miguel Ángel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, Afshin Dehghan, Joshua M. Susskind
GAUDI: A Neural Architect for Immersive 3D Scene Generation. NeurIPS (2022)
Sören Pirk, Tsang-Wei Edward Lee, Xuesu Xiao, Leila Takayama, Anthony G. Francis, Alexander Toshev
A Protocol for Validating Social Navigation Policies. CoRR (2022)
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
Retrospectives on the Embodied AI Workshop. CoRR (2022)
Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens
Perceptual Grouping in Vision-Language Models. CoRR (2022)
Catie Cuan, Tsang-Wei Edward Lee, Emre Fisher, Anthony G. Francis, Leila Takayama, Tingnan Zhang, Alexander Toshev, Sören Pirk
Gesture2Path: Imitation Learning for Gesture-aware Navigation. CoRR (2022)
Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL (2022)
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, Peter Stone
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. CoRR (2022)
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA (2021)
Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. CoRR (2021)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Adversarial Generative Grammars for Human Activity Prediction. CoRR (2020)
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRL (2020)
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. CoRR (2020)
Sören Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari
Modeling Long-horizon Tasks as Sequential Interaction Landscapes. CoRR (2020)
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. IEEE Robotics Autom. Lett. 5 (2) (2020)
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRR (2020)
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
Learning Object-conditioned Exploration using Distributed Soft Actor Critic. CoRL (2020)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Adversarial Generative Grammars for Human Activity Prediction. ECCV (2) (2020)
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects. CoRR (2020)
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR (2019)
Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR (2019)
Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese
Interactive Gibson: A Benchmark for Interactive Navigation in Cluttered Environments. CoRR (2019)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecká, Ayzaan Wahid, James Davidson
Visual Representations for Semantic Target Driven Navigation. ICRA (2019)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Evolving Space-Time Neural Architectures for Videos. ICCV (2019)
Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee
Long Range Neural Navigation Policies for the Real World. IROS (2019)
Ayzaan Wahid, Alexander Toshev, Marek Fiser, Tsang-Wei Edward Lee
Long Range Neural Navigation Policies for the Real World. CoRR (2019)
Etienne Pot, Alexander Toshev, Jana Kosecka
Self-supervisory Signals for Object Discovery and Detection. CoRR (2018)
Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson
Visual Representations for Semantic Target Driven Navigation. CoRR (2018)
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. CVPR (2018)
A. J. Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo
Evolving Space-Time Neural Architectures for Videos. CoRR (2018)
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
No Fuss Distance Metric Learning using Proxies. CoRR (2017)
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
No Fuss Distance Metric Learning Using Proxies. ICCV (2017)
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
Sim2Real View Invariant Visual Servoing by Recurrent Control. CoRR (2017)
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CVPR (2017)
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, Kevin P. Murphy
Towards Accurate Multi-person Pose Estimation in the Wild. CoRR (2017)
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
Chained Predictions Using Convolutional Neural Networks. ECCV (4) (2016)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. ECCV (3) (2016)
Georgia Gkioxari, Alexander Toshev, Navdeep Jaitly
Chained Predictions Using Convolutional Neural Networks. CoRR (2016)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CVPR (2016)
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge. CoRR (2016)
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Show and tell: A neural image caption generator. CVPR (2015)
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy
Generation and Comprehension of Unambiguous Object Descriptions. CoRR (2015)
Greg Mori, Caroline Pantofaru, Nisarg Kothari, Thomas Leung, George Toderici, Alexander Toshev, Weilong Yang
Pose Embeddings: A Deep Architecture for Learning to Match Human Poses. CoRR (2015)
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition. CoRR (2015)
Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan
Show and Tell: A Neural Image Caption Generator. CoRR (2014)
Alexander Toshev, Christian Szegedy
DeepPose: Human Pose Estimation via Deep Neural Networks. CVPR (2014)
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
Scalable Object Detection Using Deep Neural Networks. CVPR (2014)
Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe
Deep Convolutional Ranking for Multilabel Image Annotation. ICLR (Poster) (2014)
Christian Szegedy, Alexander Toshev, Dumitru Erhan
Deep Neural Networks for Object Detection. NIPS (2013)
Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov
Scalable Object Detection using Deep Neural Networks. CoRR (2013)
Alexander Toshev, Christian Szegedy
DeepPose: Human Pose Estimation via Deep Neural Networks. CoRR (2013)
Alexander Toshev, Ben Taskar, Kostas Daniilidis
Shape-Based Object Detection via Boundary Structure Segmentation. Int. J. Comput. Vis. 99 (2) (2012)
Alexander Toshev, Ben Taskar, Kostas Daniilidis
Object detection via boundary structure segmentation. CVPR (2010)
Alexander Toshev, Philippos Mordohai, Ben Taskar
Detecting and parsing architecture at city scale from range data. CVPR (2010)
Benjamin Sapp, Alexander Toshev, Ben Taskar
Cascaded Models for Articulated Pose Estimation. ECCV (2) (2010)
Alexander Toshev, Ameesh Makadia, Kostas Daniilidis
Shape-based object recognition in videos using 3D synthetic object models. CVPR (2009)
Alexander Toshev, Jianbo Shi, Kostas Daniilidis
Image Matching via Saliency Region Correspondences. CVPR (2007)
Alexander Toshev, François Brémond, Monique Thonnat
An APRIORI-based Method for Frequent Composite Event Discovery in Videos. ICVS (2006)